Greetings all, I have two sets of data that I would like to investigate. The first is gene/genome related data given different 'cell-states'. The second set of data is relates the genes to a biological pathway. /(I think in pictures so here goes.)/ *dataframe1* gene, cell-state1, cell-state2 gene1, x1, y1 gene2, x2, y2 gene.x, ..., ...
*dataframe2* pathway1, gene-x1, gene-x2, ... pathway2, gene-y1, gene-y2, ... What I want to do is, see if 'cell-state1' (in-)activates different genes / pathways from 'cell-state2.' Furthermore, I would like to test for correlation /(t-test and maybe graphing)/ between the cell-states 1 Vs 2 for specific pathways. My question is, which commands or method would allow me to do this most easily/efficiently: *merge* or using *dummy variables*? -- View this message in context: http://r.789695.n4.nabble.com/To-Merge-or-to-use-Indicator-Variables-tp3698344p3698344.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
